Deep learning-based segmentation of multiple species of weeds and corn crop using synthetic and real image datasets

Deep learning-based segmentation of multiple species of weeds and corn crop using synthetic and real image datasets is a paper indexed in ScholarIQ from OpenAlex.

How many citations does Deep learning-based segmentation of multiple species of weeds and corn crop using synthetic and real image datasets have?

Deep learning-based segmentation of multiple species of weeds and corn crop using synthetic and real image datasets has 81 citations in the OpenAlex counts ScholarIQ stores.

When was Deep learning-based segmentation of multiple species of weeds and corn crop using synthetic and real image datasets published?

Deep learning-based segmentation of multiple species of weeds and corn crop using synthetic and real image datasets has 2022 year in the ScholarIQ index.

What is the open-access status of Deep learning-based segmentation of multiple species of weeds and corn crop using synthetic and real image datasets?

Deep learning-based segmentation of multiple species of weeds and corn crop using synthetic and real image datasets has hybrid oa status in the ScholarIQ index.

What is the DOI of Deep learning-based segmentation of multiple species of weeds and corn crop using synthetic and real image datasets?

The DOI for Deep learning-based segmentation of multiple species of weeds and corn crop using synthetic and real image datasets is on the source record.

What is the OpenAlex record for Deep learning-based segmentation of multiple species of weeds and corn crop using synthetic and real image datasets?

The OpenAlex for Deep learning-based segmentation of multiple species of weeds and corn crop using synthetic and real image datasets is on the source record.